e-learning
CUT&RUN data analysis
Abstract
In many organism, transcription factors (TF) play an important tole in the regulation of the gene expression. In human, we have up to 2,800 proteins and more than 1,600 are
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- Which binding motif has the transcription factor GATA1?
- What kind of quality control do I have to do?
- How to analyse and visualise CUT&RUN data?
Learning Objectives
- Apply appropriate analysis and quality control steps for CUT&RUN
- Apply an enrichment analysis and a robust peak detection
- Find protein binding motifs
Licence: Creative Commons Attribution 4.0 International
Keywords: Epigenetics
Target audience: Students
Resource type: e-learning
Version: 2
Status: Draft
Prerequisites:
- Introduction to Galaxy Analyses
- Mapping
- Quality Control
Learning objectives:
- Apply appropriate analysis and quality control steps for CUT&RUN
- Apply an enrichment analysis and a robust peak detection
- Find protein binding motifs
Date modified: 2024-12-11
Date published: 2024-03-06
Contributors: Björn Grüning, Florian Heyl, Helena Rasche, Lucille Delisle, Saskia Hiltemann
Scientific topics: Epigenomics
Activity log
